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This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R.

Microsoft On DemandMicrosoft Official Courses On-Demand (MOC On-Demand) blend video, text, hands-on labs and knowledge checks to help you build your Microsoft technology skills on your own schedule, at your own pace and in your own place. No need to spend time and money travelling to a classroom location or adhering to classroom hours with a computer and an Internet connection, your Microsoft Official Courses On-Demand come to you, any time.

Microsoft On Demand covers the same objectives as the classroom course by the same name

After you activate your course, you have 6 months to complete it. You can work on your course at any time throughout the 6-month period after you activate the course.

Module 7: Implementing Azure SQL Data WarehouseThis module describes how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest.Lessons

Introduction to Azure SQL Data Warehouse

Designing tables for efficient queries

Importing Data into Azure SQL Data Warehouse

Module 8: Performing Analytics with Azure SQL Data WarehouseThis module describes how to import data in Azure SQL Data Warehouse, and how to protect this data.Lessons

Querying Data in Azure SQL Data Warehouse

Maintaining Performance

Protecting Data in Azure SQL Data Warehouse

Module 9: Automating the Data Flow with Azure Data FactoryThis module describes how to use Azure Data Factory to import, transform, and transfer data between repositories and services.Lessons